Evidence map›Paper›PMID 39253427›Full record

ArticlebioRxiv : the preprint server for biology2024

AI-based Prediction of Protein Corona Composition on DNA Nanostructures.

Jared Huzar, Roxana Coreas, Markita P Landry, Grigory Tikhomirov

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jared HuzarBiophysics Graduate Group, University of California, Berkeley, Berkeley, CA.ORCID 0000-0001-5085-0554
Roxana CoreasDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA.ORCID 0000-0001-6057-4717
Markita P LandryDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA.ORCID 0000-0002-5832-8522
Grigory TikhomirovDepartment of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA.ORCID 0000-0001-6061-3843

Funding

Biophysics Training ProgramT32GM146614 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI James H Hurley, Ahmet Yildiz · 2023 to 2026
$2.5M
NIGMS NIH HHS T32 GM146614
6 · The paper itself

Abstract

DNA nanotechnology has emerged as a powerful approach to engineering biophysical tools, therapeutics, and diagnostics because it enables the construction of designer nanoscale structures with high programmability. Based on DNA base pairing rules, nanostructure size, shape, surface functionality, and structural reconfiguration can be programmed with a degree of spatial, temporal, and energetic precision that is difficult to achieve with other methods. However, the properties and structure of DNA constructs are greatly altered

Identifiers

PMID39253427
PMCPMC11383312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.